Top Artificial Intelligence Jobs in Germany

Own the UK market as Growth Product Manager: work with installers through calls, site visits and support; improve activation, adoption and retention; ship UK-compliant, reusable product features; set UX/UI standards; collaborate with Product, Engineering, Design, Marketing, Sales and Customer Success.

Lead company-wide AI initiatives: identify high-impact automation use cases, design and implement AI-powered workflows using Make, Claude and Pinecone, collaborate cross-functionally, measure impact, and enable teams to adopt and optimize AI-driven processes.

Lead and coordinate technical AI/ML programs bridging research and lab implementation. Plan and deliver projects, manage compute/resources/dependencies, liaise with industry and academic partners, drive proposals and pilots, refine scalable processes, track metrics, and support IP, compliance, and publication efforts.

Develop hybrid thermodynamics- and ML-based predictive models to guide pharmaceutical formulation and process development. Apply thermodynamic and quantum principles to predict solubility, phase behavior, stability, and material interactions. Build in-silico tools and validated workflows, assess uncertainty and applicability, translate data into development decisions, and communicate results to cross-functional teams.

Develop and apply thermodynamics-based and hybrid physics/ML models to predict solubility, phase behavior, stability, and material interactions. Build in-silico tools and workflows, validate models, assess uncertainty and applicability, translate data into actionable formulation and process recommendations, and communicate results to cross-functional stakeholders.

Advise AI-focused customers to design scalable AI solutions and manage large-scale GPU deployments. Deliver technical presentations, documentation, and webinars. Collaborate with engineering and product teams to prioritize and convey customer feedback.

Lead research and engineering work on LLM-based architectures for dialog, search, and destination entry. Optimize LLMs via prompting and fine-tuning, integrate them with ASR, TTS, and vision systems, and collaborate cross-functionally to deliver performant, resource-constrained solutions for automotive voice assistants.

Develop, maintain, and lead software platforms, tools, and infrastructure for regulated computational pathology products. Implement production-quality features, follow V-model regulated development practices, support risk assessments, establish engineering controls and documentation, collaborate cross-functionally, provide technical leadership, and mentor engineers to ensure compliant, traceable, and scalable AI-enabled medical software delivery.

Design, implement, and maintain software platforms, tools, and infrastructure for regulated AI-enabled computational pathology products. Ensure compliance with regulated development practices (V-model), support risk assessments, verification/validation, traceability, and lifecycle documentation. Provide technical leadership, process improvements, and mentorship across multidisciplinary teams to enable scalable, compliant AI software delivery.

Prototype, build and improve AI assistants, prompts and lightweight automations; create a scalable prompt/library of AI assistants; run pilots with AI ambassadors; embed safety, monitoring and compliance; collaborate with product team and document how-to guides to drive adoption.

The position involves researching AI's impact on higher education and science, focusing on best practices and early adopters. It includes collaboration, engaging in applied research, and contributing to publications.

Own and translate SAP consulting knowledge into AI agent workflows; design scalable architectures for SAP landscapes (S/4HANA, ECC); collaborate with enterprise clients during onboarding and rollouts; partner with AI and engineering teams to ensure technical accuracy; build reusable reference architectures and act as domain expert embedding SAP knowledge into the product.

Design and implement robust, scalable AI systems and behaviors for game agents using the studios custom engine. Collaborate with designers, animators, QA, and engineers, apply modern AI techniques, solve technical risks, and optimize multi-threaded, physics-aware AI interactions for realistic space-sim gameplay.

Design and implement scalable, robust AI systems for game agents using the studio's custom engine. Mentor junior engineers, collaborate with designers and artists, identify and mitigate technical risks, and optimise AI for performance and stability in a large shared codebase.

Build and maintain end-to-end AI product features using LLM APIs, including chat UX and backend integrations. Design RAG and retrieval pipelines, agent orchestration, evaluation infrastructure, and scalable FastAPI/Python backends while ensuring security, privacy, and operational monitoring. Collaborate with Product, Legal Engineering, and Design to prototype and ship AI-powered legal workflows.

Lead design and delivery of AI-enabled SDLC platforms for embedded software: orchestrate multiple GenAI systems and agent frameworks (LangChain, AutoGen, CrewAI), integrate deeply with Atlassian tools (Jira, Confluence, Bitbucket) and CI/CD pipelines, ensure governance, scalability, and compliance with MISRA, ISO 26262, ISO/SAE 21434 and ASPICE.

Develop computer vision models for object recognition and video understanding while evaluating and improving their performance for real-world applications.

Own and evolve ClickHouse's Python connector and SDK ecosystem, build integrations with orchestration and transformation tools, drive AI/LLM integration strategy for RAG and feature pipelines, engage with open-source community, and collaborate across product and engineering to prioritize real-world data workflows.

Design and iterate UX/UI for an AI-powered OS used by renewable installers. Own end-to-end product design, prototype quickly, improve flows, collaborate with product and engineering, and use data and research to drive adoption.

Design and implement GenAI solutions for clients and internal use. Develop multimodal agents, automate workflows, and build scalable deployment tooling using Python, Databricks, SQL, Docker, LangGraph, and cloud platforms (Azure/AWS/GCP). Document processes, present to stakeholders, and stay current on ML and generative AI techniques while collaborating with the AI team.

Create German-first B2B content (blogs, case studies, landing pages, video concepts) using AI-enabled workflows to educate frontline industrial buyers and drive acquisition; own end-to-end content strategy, production, measurement, and cross-team collaboration.

Lead rapid end-to-end prototyping of LLM-powered agent systems: build working prototypes, design experiments measuring quality/latency/cost/user impact, validate with users, produce reference implementations, and hand off to product teams to inform roadmap decisions.

Partner with customers and internal teams to define, design, and deliver high-volume conversational AI agents. Translate business needs into agent designs, lead multiple complex deliveries, bridge technical and business stakeholders, and iterate using performance data to improve outcomes and adoption.

The AI Search Associate will onboard clients, advise on SEO strategies, and sell AI search products, ensuring client success in AI-driven search.

Six-month mandatory internship supporting AI strategy and adoption: design AI integration success metrics, develop adoption strategy, plan and run AI upskilling events, create and adapt content, ensure technical event setup, document and evaluate results, and communicate with internal stakeholders.